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Global Stage at Davos 2024: live premiere tomorrow at 11 am ET
Join Microsoft and GZERO Media for the premiere of Making AI Work for the World tomorrow, January 18 at 11 am ET/8 am PT/5 pm CET, recorded live at the World Economic Forum in Davos, Switzerland this morning.
Bianna Golodryga, Anchor & Senior Global Affairs Analyst at CNN, moderated the Global Stage discussion about the rapid development of AI technologies and the race to regulate them with Brad Smith, Vice Chair & President, Microsoft; Ian Bremmer, President & Co-founder, Eurasia Group & GZERO Media; Eva Maydell, Member of European Parliament, Bulgarian politician, Speaker for the EU Special Committee on Artificial Intelligence; Amandeep Singh Gill, UN Tech Envoy; and Omar Sultan al Olama, UAE Minister of State for Artificial Intelligence.
Watch the live premiere at gzeromedia.com/globalstage.
Watch our Davos event: Making AI Work for the World
Can AI truly benefit all? In our Global Stage event at the World Economic Forum in Davos, our expert panel examines the rapid development of AI technologies, the race to regulate them, and how to ensure the two competing forces of innovation and regulation lead to greater access, safety, and opportunity around the world. Watch the discussion today, January 18 at 11 am ET/8 am PT/5 pm CET at gzeromedia.com/globalstage.
Bianna Golodryga, Anchor & Senior Global Affairs Analyst at CNN, will moderate a conversation with:
- Ian Bremmer, President & Co-founder, Eurasia Group & GZERO Media
- Eva Maydell, Member of European Parliament, Bulgarian politician, Speaker for the EU Special Committee on Artificial Intelligence
- Amandeep Singh Gill, UN Tech Envoy
- Brad Smith, Vice Chair & President, Microsoft
- Omar Sultan al Olama, UAE Minister of State for Artificial Intelligence
Making AI Work for the World
An artificial intelligence sign is displayed on a phone screen, with the shape of a human face and binary code in an illustration.
AI will get stronger in 2024
While its lawyers are suing the world’s most powerful AI firms, reporters at The New York Times’ are simultaneously trying to make sense of this important emerging technology — namely, how rapidly it’s progressing before our eyes.
On Monday, veteran tech reporter Cade Metz suggested that AI will get stronger in innumerable ways.
“The A.I. industry this year is set to be defined by one main characteristic: a remarkably rapid improvement of the technology as advancements build upon one another, enabling A.I. to generate new kinds of media, mimic human reasoning in new ways and seep into the physical world through a new breed of robot,” Metz writes.
Huh? He’s referring to the advent of mass-market AI-generated video. Just like Midjourney and DALL-E brought AI-image generators to us in 2023, new tools will make it easy to type and generate whole videos made by AI.
Not only that, but popular chatbots like ChatGPT will become multimodal, meaning they can respond just as seamlessly with images, video, and audio as they do today with text. So perhaps there will be a true one-stop-shop for all your generative AI needs.
Logical reasoning of AI tools could also improve greatly this year, he suggests, allowing them to better function as “agents” to whom humans can delegate tasks and offload responsibilities.
Dust off your sci-fi classics: Smarter AI systems could power smart robots — though they’ll almost certainly invade factories first, rather than trying to become at-home personal butlers.
Artificial intelligence: How soon will we see meaningful progress?
The field of artificial intelligence has exploded in the last year. Generative AI tools like ChatGPT are now used by hundreds of millions of people around the world for everything from writing college term papers to computer code.
On GZERO World with Ian Bremmer, cognitive scientist and AI researcher Gary Marcus discussed AI’s exponential growth and where the biggest advancements might be in the next few years. One word stands out: uncertainty.
Massive amounts of money have been pumped into AI research and development, but Marcus warns that just because investors are excited, doesn’t mean we’ll see meaningful progress. He cites the example of driverless cars, a field that’s received over $100 billion in investment, but hasn’t yet delivered on its initial promise.
“Large language models are actually special in their unreliability,” Marcus tells Bremmer, “They're arguably the most versatile AI technique that's ever been developed, but they're also the least reliable AI technique that's ever gone mainstream.”
Marcus says that even with the emergence of more advanced models like ChatGPT-5, the reliability of AI to give accurate information in critical areas, like medicine, is still a distant reality. For the near future, at least, generative AI tools will need “humans in the loop” will remain essential for almost all of the uses of AI we’re really benefiting from.
Watch GZERO World with Ian Bremmer every week at gzeromedia.com/gzeroworld or on US public television. Check local listings.
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